SICE Journal of Control, Measurement, and System Integration
New Arrival Alert : OFF

You can use this feature after you logged into the site.
Please click the button below.

Log in / Sign up
ONLINE ISSN: 1884-9970
PRINT ISSN: 1882-4889

SICE Journal of Control, Measurement, and System Integration Vol. 12 (2019), No. 2

  • Cycling-Based Synthesis of Robust Output Estimators for Uncertain LPTV Systems

    pp. 39-46

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.9746/jcmsi.12.39

    This paper studies a method of designing robust output estimators for discrete-time linear periodically time-varying (LPTV) systems with uncertainties. The key idea is to use not the well-known lifting technique but that called cycling for dealing with LPTV systems in the estimator synthesis. Robustness for uncertainties in the estimation is evaluated with the separator-type robust stability theorem through such cycling-based treatment of systems. An advantage of our cycling-based approach, compared to the lifting-based approach, is that we can easily introduce restrictions on the coefficients of estimators in the synthesis for predetermining the estimator period regardless of the system period.
  • Dual-Eye Vision-Based Docking Experiment in the Sea for Battery Recharging Application

    pp. 47-55

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.9746/jcmsi.12.47

    This paper presents a stereo-vision-based approach for sea-bottom docking of autonomous underwater vehicles (AUVs) for battery recharging. According to the intended application, a unidirectional docking station was designed in which the AUV has to dock from a specific direction. Real-time relative pose (position and orientation) estimation was implemented utilizing three-dimensional model-based matching to the actual target and a real-time multi-step genetic algorithm. Using the proposed approach, we conducted the experiments in which an AUV docked to a simulated underwater battery recharging station in the sea near Wakayama City, Japan. The experimental results confirmed the functionality and potential of the proposed approach for sea-bottom docking of AUVs. Although similar sea trials were reported previously, detailed discussions and performance analyses were not presented, especially regarding the relations among pose estimation, output control voltage, and photographic records. The analyses confirmed that the successful docking was realized and that the method has tolerance against turbulence applied to a remotely operated vehicle near the docking station.
    x

    Readers Who Read This Article Also Read

    1. Perspective toward Long-term Global Goal for Carbon Dioxide Mitigation in Steel Industry Tetsu-to-Hagané Vol.105(2019), No.6
  • Implementation of Human Cognitive Bias on Neural Network and Its Application to Breast Cancer Diagnosis

    pp. 56-64

    Bookmark

    You can use this feature after you logged into the site.
    Please click the button below.

    Log in / Sign Up

    DOI:10.9746/jcmsi.12.56

    The neural network is one of the most successful machine learning models. However, the neural network often requires large amounts of well-balanced training data to ensure prediction accuracy. Meanwhile, human learners can generalize a new concept from even a small quantity of biased examples, simultaneously enlarging knowledge with an increase in experience. As a possible key factor in the ability to generalize, human beings have cognitive biases that effectively support concept acquisition. In this study, to narrow the gap between human and machine learning, we have implemented human cognitive biases into a neural network in an attempt to imitate human learning to enhance performance. Our model, named loosely symmetric neural network, has shown superior performance in a breast cancer classification task in comparison with other representative machine learning methods.
    x

    Readers Who Read This Article Also Read

    1. Perspective toward Long-term Global Goal for Carbon Dioxide Mitigation in Steel Industry Tetsu-to-Hagané Vol.105(2019), No.6

Article Access Ranking

20 Apr. (Last 30 Days)

  1. Three-dimensional Investigations of Non-metallic Inclusions in Stainless Steels before and after Machining ISIJ International Advance Publication
  2. Perspective toward Long-term Global Goal for Carbon Dioxide Mitigation in Steel Industry Tetsu-to-Hagané Vol.105(2019), No.6
  3. Steam Reforming of Methane on Sponge Iron: Influence of Gas Composition on Reaction Rate ISIJ International Vol.61(2020), No.1
  4. Influence of Ore Assimilation and Pore Formation during Sintering on Reduction Behavior of Sintered Ores Tetsu-to-Hagané Vol.107(2021), No.3
  5. Preface to the Special Issue on “Toward Suppression of Hydrogen Absorption and Hydrogen Embrittlement for Steels” ISIJ International Vol.61(2021), No.4
  6. Dissolution Behavior of Mg and Ca from Dolomite Refractory into Al-killed Molten Steel ISIJ International Advance Publication
  7. Automatic Ultrasonic Testing of Non-metallic Inclusions Detectable with Size of Several Tens of Micrometers Using a Double Probe Technique along the Longitudinal Axis of a Small-diameter Bar ISIJ International Vol.61(2020), No.1
  8. Rapid Method to Measure Hydrogen Diffusion Coefficient in Metal Using a Multi-sine Wave Signal ISIJ International Vol.61(2021), No.4
  9. Method for Evaluating Hydrogen Embrittlement of High-Strength Steel Sheets Considering Press Formation and Hydrogen Existence State in Steel ISIJ International Vol.61(2021), No.4
  10. Effect of Rare Earth Ce on the Morphology and Distribution of Al2O3 Inclusions in High Strength IF Steel Containing Phosphorus during Continuous Casting and Rolling Process ISIJ International Vol.61(2021), No.3

Search Phrase Ranking

20 Apr. (Last 30 Days)

  1. blast furnace
  2. coke oven gas injection
  3. blast furnace permeability
  4. slag
  5. blast furnace productivity
  6. ultrasonic inclusion
  7. activity coefficient of ti in liquid iron
  8. continuous casting of electrical steel
  9. deoxygen in liquid iron
  10. electrical steel and continuous casting